JavaEye is a popular Chinese technical blog founded in 2006 that uses a Ruby on Rails stack. It originally used a single server configuration but later scaled to separate web and database servers. It employs various caching techniques including memcached, cache_fu, and custom cache plugins to improve performance, reducing SQL queries by up to 96%. The site also added search, PDF generation, social media integration and other features over time to enhance the user experience.
Redis & ZeroMQ: How to scale your applicationrjsmelo
Presented at #PHPLX 11 July 2013
When you need to do some heavy processing how do you scale you application?
You can use Redis and ZeroMQ to leverage the heavy work for you!
With this presentation we will know more about this two technologies and how they can be used to help solve problems with the performance and scalability of your application.
Redis & ZeroMQ: How to scale your applicationrjsmelo
Presented at #PHPLX 11 July 2013
When you need to do some heavy processing how do you scale you application?
You can use Redis and ZeroMQ to leverage the heavy work for you!
With this presentation we will know more about this two technologies and how they can be used to help solve problems with the performance and scalability of your application.
OSMC 2008 | Monitoring MySQL by Geert VanderkelenNETWAYS
Monitoring MySQL has a long history within Nagios. Several plugins are available already. In addition to that, there are probably lots of plugins that have been developed by the community. We take a look at some of these and discuss what kind of additional useful information could be pulled out of a MySQL Server for monitoring it even better. A simple example on how to write such plugins will be shown, also using NDB API for monitoring MySQL Cluster. Now that MySQL Enterprise Monitor (MEM) is available, we'll go through the possibilities for combining the two platforms. We will also discuss the NDOUtils for storing configuration and event data using MySQL.
This talk starts with a brief overview of MySQL itself: some history, where it's heading too, and why it is so successful.
My talk for "MySQL, MariaDB and Friends" devroom at Fosdem on February 2, 2019
Born in 2010 in MySQL 5.5.3 as "a feature for monitoring server execution at a low level," grown in 5.6 times with performance fixes and DBA-faced features, in MySQL 5.7 Performance Schema is a mature tool, used by humans and more and more monitoring products. It becomes more popular over the years. In this talk I will give an overview of Performance Schema, focusing on its tuning, performance, and usability.
Performance Schema helps to troubleshoot query performance, complicated locking issues, memory leaks, resource usage, problematic behavior, caused by inappropriate settings and much more. It comes with hundreds of options which allow precisely tune what to instrument. More than 100 consumers store collected data.
Performance Schema is a potent tool. And very complicated at the same time. It does not affect performance in most cases and can slow down server dramatically if configured without care. It collects a lot of data, and sometimes this data is hard to read.
This talk will start from the introduction of how Performance Schema designed, and you will understand why it slowdowns server in some cases and does not affect your queries in others. Then we will discuss which information you can retrieve from Performance Schema and how to do it effectively.
I will cover its companion sys schema and graphical monitoring tools.
Security is always a challenge when we come to data but regulations like GDPR brings a new layer on top of it with rules more and more restrictive to access and manipulate data. These slides cover security best practices, traditional and new features available for MySQL including features coming with the new MySQL 8.
SO security
SSL
ACL
TDE
Audit Plugin
MySQL 8 features (undo, redo and binlog encryption)
New caching_sha2_password
Roles
Password Management
FIPS mode
Third Year Computer Science training program
conducted by one of renowned software company in Mumbai.
This course not only covers college syllabus but also prepare job ready human resource
DCSF 19 Online Feature Extraction and Event Generation for Computer-Animal In...Docker, Inc.
This talk will present an architecture developed to investigate the interaction with and between animals. The architecture allows online processing of multimedia streams and the generation, storing and visualizing of events using feature extraction. It allows biologists to analyze the events by monitoring live or by replaying streams through a web interface Docker swarm is the central component of the architecture and serves as infrastructure for stream processing, event generation, event processing and visualization. The main entry point for users is a web interface that spins up one container per user and allows independent replay of streams. This talk will focus on the architecture and on technical details concerning its implementation as well as how docker is utilized to process, store and visualize events. Some time will be spent explaining details about custom made docker solutions.
(SDD419) Amazon EC2 Networking Deep Dive and Best Practices | AWS re:Invent 2014Amazon Web Services
Amazon EC2 instances give customers a variety of high-bandwidth networking choices. In this session, we discuss how to choose among Amazon EC2 networking technologies and examine how to get the best performance out of Amazon EC2 enhanced networking and cluster networking. We also share best practices and useful tips for success.
MySQL 5.7 is GA. Here is the news about our NoSQL features in MySQL and MySQL Cluster, with a lot of emphasize on the new JSON features that make MySQL suitable as a document store.
OSMC 2008 | Monitoring MySQL by Geert VanderkelenNETWAYS
Monitoring MySQL has a long history within Nagios. Several plugins are available already. In addition to that, there are probably lots of plugins that have been developed by the community. We take a look at some of these and discuss what kind of additional useful information could be pulled out of a MySQL Server for monitoring it even better. A simple example on how to write such plugins will be shown, also using NDB API for monitoring MySQL Cluster. Now that MySQL Enterprise Monitor (MEM) is available, we'll go through the possibilities for combining the two platforms. We will also discuss the NDOUtils for storing configuration and event data using MySQL.
This talk starts with a brief overview of MySQL itself: some history, where it's heading too, and why it is so successful.
My talk for "MySQL, MariaDB and Friends" devroom at Fosdem on February 2, 2019
Born in 2010 in MySQL 5.5.3 as "a feature for monitoring server execution at a low level," grown in 5.6 times with performance fixes and DBA-faced features, in MySQL 5.7 Performance Schema is a mature tool, used by humans and more and more monitoring products. It becomes more popular over the years. In this talk I will give an overview of Performance Schema, focusing on its tuning, performance, and usability.
Performance Schema helps to troubleshoot query performance, complicated locking issues, memory leaks, resource usage, problematic behavior, caused by inappropriate settings and much more. It comes with hundreds of options which allow precisely tune what to instrument. More than 100 consumers store collected data.
Performance Schema is a potent tool. And very complicated at the same time. It does not affect performance in most cases and can slow down server dramatically if configured without care. It collects a lot of data, and sometimes this data is hard to read.
This talk will start from the introduction of how Performance Schema designed, and you will understand why it slowdowns server in some cases and does not affect your queries in others. Then we will discuss which information you can retrieve from Performance Schema and how to do it effectively.
I will cover its companion sys schema and graphical monitoring tools.
Security is always a challenge when we come to data but regulations like GDPR brings a new layer on top of it with rules more and more restrictive to access and manipulate data. These slides cover security best practices, traditional and new features available for MySQL including features coming with the new MySQL 8.
SO security
SSL
ACL
TDE
Audit Plugin
MySQL 8 features (undo, redo and binlog encryption)
New caching_sha2_password
Roles
Password Management
FIPS mode
Third Year Computer Science training program
conducted by one of renowned software company in Mumbai.
This course not only covers college syllabus but also prepare job ready human resource
DCSF 19 Online Feature Extraction and Event Generation for Computer-Animal In...Docker, Inc.
This talk will present an architecture developed to investigate the interaction with and between animals. The architecture allows online processing of multimedia streams and the generation, storing and visualizing of events using feature extraction. It allows biologists to analyze the events by monitoring live or by replaying streams through a web interface Docker swarm is the central component of the architecture and serves as infrastructure for stream processing, event generation, event processing and visualization. The main entry point for users is a web interface that spins up one container per user and allows independent replay of streams. This talk will focus on the architecture and on technical details concerning its implementation as well as how docker is utilized to process, store and visualize events. Some time will be spent explaining details about custom made docker solutions.
(SDD419) Amazon EC2 Networking Deep Dive and Best Practices | AWS re:Invent 2014Amazon Web Services
Amazon EC2 instances give customers a variety of high-bandwidth networking choices. In this session, we discuss how to choose among Amazon EC2 networking technologies and examine how to get the best performance out of Amazon EC2 enhanced networking and cluster networking. We also share best practices and useful tips for success.
MySQL 5.7 is GA. Here is the news about our NoSQL features in MySQL and MySQL Cluster, with a lot of emphasize on the new JSON features that make MySQL suitable as a document store.
17. IT
CSDN 30+ Server ASP.net 260 3.5X
JavaEye 74
ChinaUnix 73
Cnblogs 55
ITPUB 38
51CTO 23
infoq 8
0 75 150 225 300
18. IT
CSDN 30+ Server ASP.net 260 3.5X
JavaEye 74 2 Server
ChinaUnix 73
Cnblogs 55
ITPUB 38
51CTO 23
infoq 8
0 75 150 225 300
19. IT
CSDN 30+ Server ASP.net 260 3.5X
JavaEye 74 2 Server ruby
ChinaUnix 73
Cnblogs 55
ITPUB 38
51CTO 23
infoq 8
0 75 150 225 300
20. IT
CSDN 30+ Server ASP.net 260 3.5X
JavaEye 74 2 Server ruby
ChinaUnix 73 4+ Server
Cnblogs 55
ITPUB 38
51CTO 23
infoq 8
0 75 150 225 300
21. IT
CSDN 30+ Server ASP.net 260 3.5X
JavaEye 74 2 Server ruby
ChinaUnix 73 4+ Server PHP
Cnblogs 55
ITPUB 38
51CTO 23
infoq 8
0 75 150 225 300
22. IT
CSDN 30+ Server ASP.net 260 3.5X
JavaEye 74 2 Server ruby
ChinaUnix 73 4+ Server PHP
Cnblogs 55 4+ Server
ITPUB 38
51CTO 23
infoq 8
0 75 150 225 300
23. IT
CSDN 30+ Server ASP.net 260 3.5X
JavaEye 74 2 Server ruby
ChinaUnix 73 4+ Server PHP
Cnblogs 55 4+ Server ASP.net
ITPUB 38
51CTO 23
infoq 8
0 75 150 225 300
24. IT
CSDN 30+ Server ASP.net 260 3.5X
JavaEye 74 2 Server ruby
ChinaUnix 73 4+ Server PHP
Cnblogs 55 4+ Server ASP.net
ITPUB 38 PHP
51CTO 23
infoq 8
0 75 150 225 300
25. IT
CSDN 30+ Server ASP.net 260 3.5X
JavaEye 74 2 Server ruby
ChinaUnix 73 4+ Server PHP
Cnblogs 55 4+ Server ASP.net
ITPUB 38 PHP
51CTO 23
infoq 8 Java
0 75 150 225 300
49. Web Server DB Server RSS/API
fastcgi(ruby)
lighttpd SearchServer
analytics (lucene)
fastcgi(ruby) mysql
PDF Creating
memcached (ruby, C)
twitter sync
DNS Server/Email Server/
NFS Server DNS Server/Email Server